code: def testPartialDictInsert(self):
      with ops.Graph().as_default() as g:
          with ops.device("/cpu:0"):
              x = array_ops.placeholder(dtypes.float32)
              f = array_ops.placeholder(dtypes.float32)
              v = array_ops.placeholder(dtypes.float32)
              pi = array_ops.placeholder(dtypes.int64)
              gi = array_ops.placeholder(dtypes.int64)
          with ops.device(test.gpu_device_name()):
              # Test barrier with dictionary
              stager = data_flow_ops.MapStagingArea(
                  [dtypes.float32, dtypes.float32, dtypes.float32],
                  names=["x", "v", "f"],
              )
              stage_xf = stager.put(pi, {"x": x, "f": f})
              stage_v = stager.put(pi, {"v": v})
              key, ret = stager.get(gi)
              size = stager.size()
              isize = stager.incomplete_size()
  
      g.finalize()
  
      with self.session(graph=g) as sess:
          # 0 complete and incomplete entries
          self.assertEqual(sess.run([size, isize]), [0, 0])
          # Stage key 0, x and f tuple entries
          sess.run(stage_xf, feed_dict={pi: 0, x: 1, f: 2})
          self.assertEqual(sess.run([size, isize]), [0, 1])
          # Stage key 1, x and f tuple entries
          sess.run(stage_xf, feed_dict={pi: 1, x: 1, f: 2})
          self.assertEqual(sess.run([size, isize]), [0, 2])
  
          # Now complete key 0 with tuple entry v
          sess.run(stage_v, feed_dict={pi: 0, v: 1})
          # 1 complete and 1 incomplete entry
          self.assertEqual(sess.run([size, isize]), [1, 1])
          # We can now obtain tuple associated with key 0
          self.assertEqual(
              sess.run([key, ret], feed_dict={gi: 0}),
              [0, {"x": 1, "f": 2, "v": 1}],
          )
  
          # 0 complete and 1 incomplete entry
          self.assertEqual(sess.run([size, isize]), [0, 1])
          # Now complete key 1 with tuple entry v
          sess.run(stage_v, feed_dict={pi: 1, v: 3})
          # We can now obtain tuple associated with key 1
          self.assertEqual(
              sess.run([key, ret], feed_dict={gi: 1}),
              [1, {"x": 1, "f": 2, "v": 3}],
          )
  
imports: import queue
  import threading
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the MapStageTest obj's underlying member method code with example usage: obj.testPartialDictInsert() without return types